Multivariate Analysis of Variance Based on Distances and Permutations

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Documentation for package ‘PERMANOVA’ version 0.2.0

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AddClusterToBiplot Add Clusters to a Biplot Object
BinaryVectorCheck Checks if a vector is binary
BiplotVar Draws a variable on a biplot
BootDisMANOVA Multivariate Analysis of Variance based on Distances and Bootstrap
BootDistCanonicalAnalysis Canonical Analysis based on Distances
Circle2 Draws a circle.
ConcEllipse Non-parametric concentration ellipses
ConstructContrasts Construction of contrasts for several factors
Cumsum Cumulative sums
DistBinary Distances for binary data
DistContinuous Distances among individuals with continuous data
Dlines Connects two sets of points by lines
FactorToBinary Converts a Factor into its indicator matrix
GetScalesBiplot Calculates the scales for the variables on a linear biplot
Ginv G inverse
inbox Checks if a point is inside a box
IniTransform Initial transformation of a data matrix
MANOVA Multivariate Analysis of Variance (MANOVA)
MANOVA.Estimation Estimation of the MANOVA parameters.
mgc Mixture Gaussian Clustering
Ones Matrix of ones
PERMANOVA PERMANOVA: MANOVA based on distances
PERMANOVA.Estimation Estimation of the PERMANOVA parameters
PerMANOVA.Simple PERMANOVA from a matrix of distancies
plot.BootCanonAnalysis Plots the principal coordinates of the group centers and the bootstrap confidence regions
plot.ellipse Plot a concentration ellipse
plot.MANOVA Plots the results of a MANOVA Biplot
plot.MANOVA.Biplot Plots the results of a MANOVA Biplot
plot.PERMANOVA Plots the results of the PERMANOVA function
PlotClustersBiplot Plot clusters on a biplot.
PostHocComp Post Hoc pairwise comparisons
ProcrustesSimple Simple Procrustes Analysis
spiders Hunting Spiders Data
spidersb Hunting Spiders Data
summary.BootDisMANOVA Summarizes the results of a Bootstrap Manova based on distances
TextSmart Labels of a Scatter
wine Wine data
Zeros Matrix of zeros